Data demands are exploding as organizations democratize access and expand into advanced analytics, artificial intelligence (AI), and machine learning (ML). Distributed data environments are putting stress on data integration, turning today’s labyrinth of pipelines and transformation processes into bottlenecks that affect downstream applications. Pressure is growing on legacy systems and practices, driving higher costs and reducing business value.Data-driven business initiatives depend on scalable, agile, and comprehensive data management and data governance. Fortunately, AI/ML-infused...
Read MoreData Management
The data explosion continues to accelerate across distributed landscapes with data on premises and on multiple cloud data platforms. Organizations face challenges as well as tremendous potential for increasing the value of data assets, including through data monetization—potential that can go untapped without good data management and governance.Data-driven business initiatives depend on scalable, agile, and comprehensive data management and governance. The latest applications embed sophisticated analytics using AI/ML capabilities that must be provisioned with continuous, integrated, curated...
Read MoreThere is much hype around new data management approaches, from Cloud Data Warehouses to Data Lakes, Data Fabrics, and more. In this webinar, we will cut through the noise and focus on five key principles you must consider to modernize your data architecture and drive value for the business.What You’ll Learn:Practical advice on modernizing your data architectureHow to quickly deliver value to the businessKey considerations to position yourself for future change
Read MoreAs the data landscape becomes increasingly distributed and diverse, advanced solutions like a logical data fabric, powered by data virtualization and artificial intelligence, become important for enterprise wide data management. In this report, Denodo has taken a clear Leaders position based on its outstanding focus and execution in the areas of data source connectivity, centralized access, data preparation, data integration, semantic model support and data governance.
Read MorePartnering to facilitate data protection and compliance, leveraging advanced data management and sophisticated automation
Read MoreFor Energy and Utilities companies to transition into data- and AI-driven entities, their success depends on efficiently integrating data from an expanding array of sources in a timely fashion. This necessity has evolved into a critical mission to establish a robust data foundation characterized by high quality, security, and compliance. This foundation serves as a catalyst for generating insights, recommendations, and predictions. By building upon this foundation, these companies can develop the necessary insights to modernize grid networks, adopt cost-effective renewable energy sources,...
Read MoreAlberto Pan, Executive VP and CTO at Denodo, solution leader in data management, talks to us about the virtues of a decentralized approach to data management according to the Data Mesh concept, to increase the agility of data-driven organisations, guarantee the quality of data and democratize it.
Read MoreBusiness users struggle to gain access to the data they need for analytics, because the necessary data is often stored across numerous different kinds of systems. They also struggle with gettingthe data in time to meet their needs, and in a format that they can immediately use.Working together, Alteryx and Denodo enable organizations to transform the “business-as-usual” of analytics into the modern capabilities of advanced analytics.
Read MoreData governance has always been scrutinized as a difficult, unrewarding, costly task, and often a hindrance to business. However, due to today's data protection and privacy regulations, data governance is increasingly considered as a crucial component of organizations. Companies are investing in governance policies, governance tools, data quality tools, data catalogs, and so forth to enhance their data governance performance.In this webinar, we will explore how a logical data management platform can enable a comprehensive data governance strategy that your company anticipates from such...
Read MoreIn order for Financial Services and Insurance companies to embrace a data and AI-driven future, they must effectively integrate data from a growing array of sources. This necessity has evolved into a critical requirement for establishing a solid, secure, compliant, and robust data foundation. This foundation is pivotal in generating fresh insights, suggestions, and forecasts. By establishing this groundwork, these companies can develop real-time customer profiles, manage credit risks, combat fraud and financial crimes, ensure data security, address cybersecurity concerns, expand their...
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